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Being the victim of traumatizing events has consequences that can lead to wellknown mental disorders, such as depression. However, newest studies show that these events do not only affect the victims’ behavior, but also the expression levels of specific genes in their blood and in their brain. Latest research discovered little pieces of RNA in the cells that were long thought to be genetic junk. Nevertheless, these so-called miRNAs can regulate the expression of multiple genes, thus modulating metabolism and cell functioning. The aim of this study was to see if childhood traumatization led to a set of differentially expressed miRNA profiles in the peripheral blood. For this, we used subjects from the SHIP trend cohort, who had previously answered various questionnaires, among them the Childhood Trauma Questionnaire and the Patients Health Questionnaire-9 and analyzed the miRNAs in their blood to find out whether there was an association between the score and the dysregulation of certain miRNAs. Furthermore, we selected 5 different independent variables: PHQ-trend, CTQ score, as well as its subscales Abuse and Neglect, and Major Depressive Disorder lifetime prevalence. The analyses showed a set of up- or downregulated miRNAs in the blood. In a second step, we tried to replicate our results comparing them to results in the literature. Some of the significantly dysregulated miRNAs had previously been described as key players in the pathogenesis of MDD, a few even displaying similar results to ours. The next step was to see if the significant miRNAs had common target genes and if these had been described in the literature as having an influence on MDD, showing positive results. One last step was to see if there were also common biological pathways that were modulated by the differentially expressed miRNA. This analysis did not show promising results since there were almost no brain pathways among the results. For future studies, it will be necessary to validate our results using a clinical sample, such as GANI_MED, where the prevalence of childhood traumatization, as well as MDD, is much higher. By doing this, new possibilities of trauma treatment through modulation of epigenetic pathways could arise. If childhood traumatization leads to a set of dysregulated miRNAs that can end in a positive diagnosis of MDD in adulthood, what effects could have a targeted miRNA therapy on the pathogenesis of these psychiatric disorders?
Humanity is plagued by many diseases. Beside environmental influences, many --- if not all --- diseases are also subject to genetic predisposition and then display molecular alterations such as proteomic or metabolic aberrations. The elucidation of the molecular principles underlying human diseases is one of the prime goals of biomedical research. To this end, there has been an advent of large-scale omics profiling studies. While the field of molecular biology has experienced tremendous development, data analysis remains a bottleneck. In the context of this thesis, we developed a number of analysis strategies for different types of omics data resulting from different experimental settings. These include approaches for associations studies for plasma miRNAs and time-resolved plasma omics data. Furthermore, we devised analyses of different RNA-Seq transcriptome profiling studies coping with problems such as lack of replicates or multifactorial experimental design. We also designed machine learning frameworks for the identification of discriminatory biomolecular signatures analysing case-control or time-to-event data. All of the strategies mentioned above were developed and applied in the contexts of multi-disciplinary endeavours. They aided in the identification of plasma miRNAs associated with age, sex, and BMI as well as plasma miRNAs bearing potential as diagnostic biomarkers for non-alcoholic fatty liver disease (NAFLD). This thesis significantly contributed to a study demonstrating the utility of plasma miRNAs as prognostic biomarkers for major cardiovascular events such as ST-elevation myocardial infarction. Our approaches for analysing RNA-Seq data aided in the characterisation of murine models for Alzheimers disease and the transcriptional response of human gingiva fibroblasts to ionizing radiation exposure. Furthermore, the developed approaches were applied for studying a human model for thyrotoxicosis and for the successful identification of a multi-omics plasma biomarker signature of thyroid status. We are only beginning to understand the molecular principles underlying human diseases. The approaches and results presented in this thesis will contribute to improved understanding of biomolecular processes involved in common diseases such as Alzheimers disease, NAFLD, and cardiovascular diseases.